AI Platform Engineer

Ocho; Belfast City District; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work in Belfast

Competitive salary

Job summary

Ocho is hiring an Agentic AI Platform Engineer in Belfast. You will help build a secure AWS-based platform powering AI products across the business, taking ideas from design through to production. The role is hands-on, emphasizes reliability, quality, and cost optimization, and requires collaboration with multiple teams.

We expect 4+ years in software engineering with strong Java experience and deep AWS tooling knowledge. A hybrid work model in Belfast is offered, with 2 days on-site per week.

Qualifications

• 4+ years of software engineering experience, with significant Java experience.
• Strong AWS experience (ECS/Fargate, Lambda, API Gateway, Step Functions, CloudFormation, CloudWatch).
• Experience with AWS AI services, particularly Bedrock.
• Experience with Infrastructure as Code, CI/CD and DevOps in an Agile environment.

Responsibilities

• Build and maintain the AWS-based platform used for AI products across the business.
• Take ideas from design into reliable, production-ready services.
• Apply the platform to real use cases and support it in live environments.

Skills

Java

AWS

Python

TypeScript

CI/CD

DevOps

Kafka

Bedrock

AWS MSK

Tools

GitHub Copilot

Claude Code

Cursor

Amazon Q/Kiro

Job description

• Belfast, Hybrid (2 days per week in office)
• AI Services team, working closely with Architecture, Security and QA
• Build the secure AWS-based platform powering AI products across the business
• Hands-on engineering with real influence over how the capability is built

About the Company

Our client is a large, global organisation investing in a new generation of technology capability — transforming customer and employee experience and reshaping how software is designed, built, tested and delivered. They're scaling secure, responsible AI use at enterprise scale and building the platforms and specialist capabilities to support it.

Role Overview

As Agentic AI Platform Engineer, you'll help build the secure AWS-based platform that other teams across the business use for AI products — taking ideas from design through to production, and making sure the platform stays reliable, easy to use and genuinely useful for real business work. This is a hands-on role: building services, improving quality, supporting teams that use the platform, and feeding what you learn back into the roadmap, while shaping engineering decisions early in the capability's life.

Key Responsibilities

• Build and maintain the AWS-based platform used across the business for AI products
• Take ideas from design into reliable, production-ready services
• Apply the platform to real use cases and support it once live
• Solve practical problems around reliability, quality and cost
• Create reusable engineering patterns for other teams to build on
• Partner closely with QA, Product, Architecture and Production Support

What You'll Need

• 4+ years' experience in software engineering, with significant microservice-driven Java experience
• Strong AWS experience (ECS/Fargate, Lambda, API Gateway, Step Functions, CloudFormation, CloudWatch)
• Experience with AWS AI services, particularly Amazon Bedrock
• Experience with Infrastructure as Code, CI/CD and DevOps in an Agile environment
• Experience with AI-driven engineering tools (e.g. "GitHub Copilot", "Claude Code", "Cursor", "Amazon Q/Kiro")
• Right to work in Northern Ireland (no sponsorship available)
• AWS certification, including AI/ML or Bedrock-specific training
• Hands-on experience with agent frameworks or orchestration tooling (Bedrock AgentCore, Strands, LangGraph, MCP)
• Experience building or contributing to an internal developer platform
• Event-driven architecture/messaging experience (Kafka, AWS MSK)
• Familiarity with Python or TypeScript
• Experience delivering across time zones with US-based teams

Benefits & Package

Competitive salary DOE, hybrid working (2 days per week in Belfast), and a genuine opportunity to shape a new AI platform capability from an early stage.